Nothing new here. I just thought this looked cool. It's the win probability of an offense with a first down trailing by 3 points. Actually, it is a little new. I'm trying to get smart on multivariate non-parametric kernel smoothing algorithms using R, the open source statistics package. That's just a fancy way of filtering out the noise inherent in the raw data and making a smooth estimate of the true probabilities. This chart is a product of my experimentation.

This axis going from 5-95 represent the midpoint of 10-yard bins of field position. The axis labeled 0-50 represent the game time remaining. The z-axis (vertical) shows the expected win probability. It's a little over-smoothed, at least in terms of field position. It might be under-smoothed in terms of time. Still have a lot learn.

I've been using loess, too - I don't suppose you've seen any way to get an adjusted-R^2? summary gives me an "equivalent number of parameters," so I guess I could tally the residuals myself, but it seems odd to me that I haven't found something like that.

@BBurkeESPN

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